Literature DB >> 27247024

A Method for Detecting Circulating Tumor Cells Based on the Measurement of Single-Cell Metabolism in Droplet-Based Microfluidics.

Fabio Del Ben1,2, Matteo Turetta3, Giorgia Celetti4, Aigars Piruska4, Michela Bulfoni3, Daniela Cesselli3, Wilhelm T S Huck5, Giacinto Scoles6.   

Abstract

The number of circulating tumor cells (CTCs) in blood is strongly correlated with the progress of metastatic cancer. Current methods to detect CTCs are based on immunostaining or discrimination of physical properties. Herein, a label-free method is presented exploiting the abnormal metabolic behavior of cancer cells. A single-cell analysis technique is used to measure the secretion of acid from individual living tumor cells compartmentalized in microfluidically prepared, monodisperse, picoliter (pL) droplets. As few as 10 tumor cells can be detected in a background of 200 000 white blood cells and proof-of-concept data is shown on the detection of CTCs in the blood of metastatic patients.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  cancer; circulating tumor cells; metabolism; microfluidics; picodroplets

Mesh:

Substances:

Year:  2016        PMID: 27247024     DOI: 10.1002/anie.201602328

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  15 in total

Review 1.  Microfluidics cell sample preparation for analysis: Advances in efficient cell enrichment and precise single cell capture.

Authors:  Liang Huang; Shengtai Bian; Yinuo Cheng; Guanya Shi; Peng Liu; Xiongying Ye; Wenhui Wang
Journal:  Biomicrofluidics       Date:  2017-02-06       Impact factor: 2.800

2.  Static array of droplets and on-demand recovery for biological assays.

Authors:  Syung Hun Han; Junhyong Kim; Daeyeon Lee
Journal:  Biomicrofluidics       Date:  2020-09-15       Impact factor: 2.800

3.  Sorting by interfacial tension (SIFT): label-free selection of live cells based on single-cell metabolism.

Authors:  Ching W Pan; Daniel G Horvath; Samuel Braza; Trevor Moore; Annabella Lynch; Cameron Feit; Paul Abbyad
Journal:  Lab Chip       Date:  2019-04-09       Impact factor: 6.799

4.  Microfluidic Platform for the Isolation of Cancer-Cell Subpopulations Based on Single-Cell Glycolysis.

Authors:  Claudia Zielke; Ching W Pan; Adriana J Gutierrez Ramirez; Cameron Feit; Chandler Dobson; Catherine Davidson; Brody Sandel; Paul Abbyad
Journal:  Anal Chem       Date:  2020-04-30       Impact factor: 6.986

Review 5.  Unravelling tumour heterogeneity by single-cell profiling of circulating tumour cells.

Authors:  Laura Keller; Klaus Pantel
Journal:  Nat Rev Cancer       Date:  2019-08-27       Impact factor: 60.716

Review 6.  The limitless applications of single-cell metabolomics.

Authors:  Shenghao Guo; Cissy Zhang; Anne Le
Journal:  Curr Opin Biotechnol       Date:  2021-07-30       Impact factor: 10.279

Review 7.  Dissecting the Heterogeneity of Circulating Tumor Cells in Metastatic Breast Cancer: Going Far Beyond the Needle in the Haystack.

Authors:  Michela Bulfoni; Matteo Turetta; Fabio Del Ben; Carla Di Loreto; Antonio Paolo Beltrami; Daniela Cesselli
Journal:  Int J Mol Sci       Date:  2016-10-24       Impact factor: 5.923

Review 8.  Progress in Circulating Tumor Cell Research Using Microfluidic Devices.

Authors:  Hogyeong Gwak; Junmoo Kim; Leila Kashefi-Kheyrabadi; Bongseop Kwak; Kyung-A Hyun; Hyo-Il Jung
Journal:  Micromachines (Basel)       Date:  2018-07-14       Impact factor: 2.891

9.  Dysmetabolic Circulating Tumor Cells Are Prognostic in Metastatic Breast Cancer.

Authors:  Giulia Brisotto; Eva Biscontin; Elisabetta Rossi; Michela Bulfoni; Aigars Piruska; Simon Spazzapan; Cristina Poggiana; Riccardo Vidotto; Agostino Steffan; Alfonso Colombatti; Wilhelm T S Huck; Daniela Cesselli; Rita Zamarchi; Matteo Turetta; Fabio Del Ben
Journal:  Cancers (Basel)       Date:  2020-04-19       Impact factor: 6.575

Review 10.  Integrating Immunology and Microfluidics for Single Immune Cell Analysis.

Authors:  Nidhi Sinha; Nikita Subedi; Jurjen Tel
Journal:  Front Immunol       Date:  2018-10-16       Impact factor: 7.561

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